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Current Directions in Biomedical Engineering

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering

Editor-in-Chief: Dössel, Olaf

Editorial Board: Augat, Peter / Buzug, Thorsten M. / Haueisen, Jens / Jockenhoevel, Stefan / Knaup-Gregori, Petra / Kraft, Marc / Lenarz, Thomas / Leonhardt, Steffen / Malberg, Hagen / Penzel, Thomas / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Urban, Gerald A.

CiteScore 2018: 0.47

Source Normalized Impact per Paper (SNIP) 2018: 0.377

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Pore size estimation from double diffusion encoding

A multidimensional acquisition helps reduce numerical inversion instability

Vincent Methot
  • Corresponding author
  • Institute of Medical Engineering, University of Luebeck, Ratzeburger Allee 160, 23562 Lübeck, Germany
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/ Patricia Ulloa / Martin A. Koch
Published Online: 2017-09-07 | DOI: https://doi.org/10.1515/cdbme-2017-0131


Double diffusion encoding is a magnetic resonance technique with applications in measuring microstructure. In many tissues, cell size (which is of a few micrometers) is an important biological parameter. Estimating an arbitrary pore size distribution from a diffusion attenuated signal usually relies on varying a single experimental setting. This inversion process is numerically unstable. Numerical simulations are presented, where multiple experimental settings are varied concomitantly. The inversion’s results show good agreement with ground truth.

Keywords: diffusion MRI; double diffusion encoding; DDE; numerical simulation; pore size estimation

About the article

Published Online: 2017-09-07

Citation Information: Current Directions in Biomedical Engineering, Volume 3, Issue 2, Pages 627–630, ISSN (Online) 2364-5504, DOI: https://doi.org/10.1515/cdbme-2017-0131.

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©2017 Vincent Methot et al., published by De Gruyter. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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